Plant Disease Detection Using Image Processing and Machine Learning

06/20/2021

∙

One of the important and tedious task in agricultural practices is the detection of the disease on crops. It requires huge time as well as skilled labor. This paper proposes a smart and efficient technique for detection of crop disease which uses computer vision and machine learning techniques. The proposed system is able to detect 20 different diseases of 5 common plants with 93

READ FULL TEXT

Plant Disease Detection Using Image Processing and Machine Learning

Towards automated mobile-phone-based plant pathology management

PlantDoc: A Dataset for Visual Plant Disease Detection

Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm

DeepImageSpam: Deep Learning based Image Spam Detection

Deep learning and machine learning for Malaria detection: overview, challenges and future directions

Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

Unified View of Damage leaves Planimetry Analysis Using Digital Images Processing Techniques

Plant Disease Detection Using Image Processing and Machine Learning

Related Research

Towards automated mobile-phone-based plant pathology management

PlantDoc: A Dataset for Visual Plant Disease Detection

Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm

DeepImageSpam: Deep Learning based Image Spam Detection

Deep learning and machine learning for Malaria detection: overview, challenges and future directions

Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

Unified View of Damage leaves Planimetry Analysis Using Digital Images Processing Techniques